Jon Z. Cai

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #18,976 of 35,345 by trust here, #12,974 by citations
• Model Architectures — 6 citations into it

Whom Jon Z. Cai trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ilya Sutskever
2. Oriol Vinyals
3. Scott E. Reed
4. Lukasz Kaiser
5. Wojciech Zaremba
6. Alex Graves
7. Geoffrey E. Hinton
8. Tomas Mikolov
9. Yoshua Bengio
10. Nando de Freitas

Who trusts Jon Z. Cai overall

1. Xinyun Chen
2. Jorge Armando Mendez Mendez
3. Danfei Xu
4. Jianpeng Cheng
5. Richard Shin
6. Paul Christiano
7. Shao-Hua Sun
8. Dawn Song
9. Ke Wang
10. Eric Eaton

Papers from Jon Z. Cai's perspective

Ordered by how strongly the researchers Jon Z. Cai trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Making Neural Programming Architectures Generalize via Recursion (2017) — 153 citations